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20202023
most citedCoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

27 citations · 66 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 1 cited

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers

Linyuan Gong, Chenyan Xiong, Xiaodong Liu +5

This paper explores the effectiveness of model-generated signals in improving zero-shot generalization of text-to-text Transformers such as T5. We study various designs to pretrain…

cs.CL2022★ 2 cited

Open-Vocabulary Argument Role Prediction for Event Extraction

Yizhu Jiao, Sha Li, Yiqing Xie +3

The argument role in event extraction refers to the relation between an event and an argument participating in it. Despite the great progress in event extraction, existing studies…

cs.CL2022★ 3 cited

P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization

Sha Li, Liyuan Liu, Yiqing Xie +2

We propose P4E, an identify-and-localize event detection framework that integrates the best of few-shot prompting and structured prediction. Our framework decomposes event detectio…

cs.CL2021★ 1 cited

Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion

Yiqing Xie, Jiaming Shen, Sha Li +2

Document-level relation extraction (DocRE) aims to extract semantic relations among entity pairs in a document. Typical DocRE methods blindly take the full document as input, while…

cs.CL2020★ 27 cited

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

Jiaxin Huang, Yiqing Xie, Yu Meng +2

Taxonomy is not only a fundamental form of knowledge representation, but also crucial to vast knowledge-rich applications, such as question answering and web search. Most existing…

cs.CL2020★ 6 cited

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning

Yuning Mao, Yanru Qu, Yiqing Xie +2

While neural sequence learning methods have made significant progress in single-document summarization (SDS), they produce unsatisfactory results on multi-document summarization (M…

cs.CL2020★ 23 cited

Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion

Jiaxin Huang, Yiqing Xie, Yu Meng +3

Given a small set of seed entities (e.g., ``USA'', ``Russia''), corpus-based set expansion is to induce an extensive set of entities which share the same semantic class (Country in…